AI agents are autonomous software entities leveraging artificial intelligence to perceive, reason, decide, and act within their environment to achieve specific goals, often learning and adapting over time. Ranging from simple reflex agents reacting to immediate stimuli to sophisticated learning agents optimizing for utility and improving with experience, these systems utilize various AI techniques, including advancements in large language models for enhanced natural language understanding and interaction. While offering immense potential across diverse applications, their development and deployment face challenges such as ensuring data quality, mitigating algorithmic bias, achieving seamless integration, managing scalability and performance, accurately interpreting context, addressing cost and resource limitations, facilitating continuous learning and maintenance, and navigating crucial ethical and compliance considerations.